Results 31 to 40 of about 49,854 (168)
Frontiers in Psychiatry, 2021 Access to affordable, objective and scalable biomarkers of brain function is needed to transform the healthcare burden of neuropsychiatric and neurodegenerative disease.
Esther C. McWilliams +12 more
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Nature and Science of Sleep, 2022 Evan D Chinoy,1,2 Joseph A Cuellar,1,2 Jason T Jameson,1,2 Rachel R Markwald1 1Sleep, Tactical Efficiency, and Endurance Laboratory, Warfighter Performance Department, Naval Health Research Center, San Diego, CA, USA; 2Leidos, Inc., San Diego, CA ...
Chinoy ED +3 more
doaj
Brainatwork: Logging Cognitive Engagement and Tasks in the Workplace Using Electroencephalography [PDF]
, 2017 Today's workplaces are dynamic and complex. Digital data sources such as email and video conferencing aim to support workers but also add to their burden of multitasking.
Alt, Florian +4 more
core +1 more source
Analyzing and Decoding Natural Reach-and-Grasp Actions Using Gel, Water and Dry EEG Systems
Frontiers in Neuroscience, 2020 Reaching and grasping is an essential part of everybody’s life, it allows meaningful interaction with the environment and is key to independent lifestyle.
Andreas Schwarz +5 more
doaj +1 more source
Review of real brain-controlled wheelchairs [PDF]
, 2016 This paper presents a review of the state of the art regarding wheelchairs driven by a brain-computer interface (BCI). Using a brain-controlled wheelchair (BCW), disabled users could handle a wheelchair through their brain activity, granting autonomy to ...
Fernández-Rodríguez, Álvaro +2 more
core +2 more sources
Automatic epilepsy detection using fractal dimensions segmentation and GP-SVM classification [PDF]
, 2018 Objective: The most important part of signal processing for classification is feature extraction as a mapping from original input electroencephalographic (EEG) data space to new features space with the biggest class separability value.
Jirka, Jakub +3 more
core +1 more source
Signal Quality Evaluation of Emerging EEG Devices
Frontiers in Physiology, 2018 Electroencephalogram (EEG) registration as a direct measure of brain activity has unique potentials. It is one of the most reliable and predicative indicators when studying human cognition, evaluating a subject's health condition, or monitoring their ...
Thea Radüntz
doaj +1 more source
Robust learning from corrupted EEG with dynamic spatial filtering
NeuroImage, 2022 Building machine learning models using EEG recorded outside of the laboratory setting requires methods robust to noisy data and randomly missing channels.
Hubert Banville +4 more
doaj +1 more source
Anomalous pattern based clustering of mental tasks with subject independent learning – some preliminary results [PDF]
, 2012 In this paper we describe a new method for EEG signal classification in which the classification of one subject’s EEG signals is based on features learnt from another subject.
Amorim, Renato +2 more
core +1 more source
A note on brain actuated spelling with the Berlin brain-computer interface [PDF]
, 2007 Brain-Computer Interfaces (BCIs) are systems capable of decoding neural activity in real time, thereby allowing a computer application to be directly controlled by the brain.
A. Kübler +18 more
core +5 more sources